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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
This book provides a thorough exploration of intermediate statistical concepts, ensuring a well-rounded understanding of topics such as One-Way ANOVA, Two-Way ANOVA, Chi-Square Tests, and Multiple Linear Regression. Complex statistical principles are explained in a clear and accessible manner. The book assumes a foundational understanding of basic statistics. This book is designed for individuals with a foundational understanding of basic statistics who are eager to progress to intermediate statistical concepts. The focus on practical application and R integration makes it a valuable resource for those engaged in statistical analysis in various professional settings. The book provides a practical and applied approach to learning intermediate statistical techniques with the R programming language. This book is ideal for students studying statistics, data science, or related fields, researchers and professionals looking to enhance their data analysis.
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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
This book provides a thorough exploration of intermediate statistical concepts, ensuring a well-rounded understanding of topics such as One-Way ANOVA, Two-Way ANOVA, Chi-Square Tests, and Multiple Linear Regression. Complex statistical principles are explained in a clear and accessible manner. The book assumes a foundational understanding of basic statistics. This book is designed for individuals with a foundational understanding of basic statistics who are eager to progress to intermediate statistical concepts. The focus on practical application and R integration makes it a valuable resource for those engaged in statistical analysis in various professional settings. The book provides a practical and applied approach to learning intermediate statistical techniques with the R programming language. This book is ideal for students studying statistics, data science, or related fields, researchers and professionals looking to enhance their data analysis.